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Samuel Greenbank
Samuel Greenbank
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
“Knees” in lithium-ion battery aging trajectories
PM Attia, A Bills, FB Planella, P Dechent, G Dos Reis, M Dubarry, ...
Journal of The Electrochemical Society 169 (6), 060517, 2022
1802022
Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life
S Greenbank, D Howey
IEEE Transactions on Industrial Informatics 18 (5), 2965-2973, 2021
932021
Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability
P Dechent, S Greenbank, F Hildenbrand, S Jbabdi, DU Sauer, DA Howey
Batteries & Supercaps 4 (12), 1821-1829, 2021
322021
A minimal information set to enable verifiable theoretical battery research
A Mistry, A Verma, S Sripad, R Ciez, V Sulzer, F Brosa Planella, R Timms, ...
ACS Energy Letters 6 (11), 3831-3835, 2021
302021
Current-driven solvent segregation in lithium-ion electrolytes
AA Wang, S Greenbank, G Li, DA Howey, CW Monroe
Cell Reports Physical Science 3 (9), 2022
192022
Piecewise-linear modelling with automated feature selection for Li-ion battery end-of-life prognosis
S Greenbank, DA Howey
Mechanical Systems and Signal Processing 184, 109612, 2023
72023
Automated feature selection for data-driven models of rapid battery capacity fade and end of life
S Greenbank, DA Howey
arXiv, 2021
72021
Data-driven battery state of health diagnostics and prognostics
S Greenbank
University of Oxford, 2022
22022
Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
S Greenbank, DA Howey
arXiv preprint arXiv:2104.07576, 2021
22021
THE ESPRESSO COFFEE PROBLEM
M Čolić, MKTU Darmstadt
2018
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